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» A hybrid approach to parameter tuning in genetic algorithms
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ASC
2008
13 years 7 months ago
Development of scheduling strategies with Genetic Fuzzy systems
This paper presents a methodology for automatically generating online scheduling strategies for a complex objective defined by a machine provider. To this end, we assume independe...
Carsten Franke, Frank Hoffmann, Joachim Lepping, U...
CEC
2003
IEEE
14 years 29 days ago
An evolutionary approach to microstructure optimisation of stereolithographic models
The aim of this work is to utilize an evolutationary algorithm to evolve the microstructure of an object created by a stereolithography machine. This should be optimised to be able...
Siavash Haroun Mahdavi, Sean Hanna
PKDD
2010
Springer
158views Data Mining» more  PKDD 2010»
13 years 6 months ago
Learning Sparse Gaussian Markov Networks Using a Greedy Coordinate Ascent Approach
In this paper, we introduce a simple but efficient greedy algorithm, called SINCO, for the Sparse INverse COvariance selection problem, which is equivalent to learning a sparse Ga...
Katya Scheinberg, Irina Rish
PPSN
2004
Springer
14 years 1 months ago
An Evolutionary Approach to Modeling Radial Brightness Distributions in Elliptical Galaxies
A reasonably good description of the luminosity profiles of galaxies is needed as it serves as a guide towards understanding the process of galaxy formation and evolution. To obtai...
Jin Li, Xin Yao, Colin Frayn, Habib G. Khosroshahi...
IAT
2007
IEEE
14 years 2 months ago
A Hybrid of Inference and Local Search for Distributed Combinatorial Optimization
We present a new hybrid algorithm for local search in distributed combinatorial optimization. This method is a mix between classical local search methods in which nodes take decis...
Adrian Petcu, Boi Faltings